191 citations · 448 across the 18 of their papers we have counts for
3 papers · 1 filter
CAMUS: A Framework to Build Formal Specifications for Deep Perception Systems Using Simulators
Julien Girard-Satabin, Guillaume Charpiat, Zakaria Chihani +1
The topic of provable deep neural network robustness has raised considerable interest in recent years. Most research has focused on adversarial robustness, which studies the robust…
Tropical Cyclone Track Forecasting using Fused Deep Learning from Aligned Reanalysis Data
Sophie Giffard-Roisin, Mo Yang, Guillaume Charpiat +3
The forecast of tropical cyclone trajectories is crucial for the protection of people and property. Although forecast dynamical models can provide high-precision short-term forecas…
Noisy Supervision for Correcting Misaligned Cadaster Maps Without Perfect Ground Truth Data
Nicolas Girard, Guillaume Charpiat, Yuliya Tarabalka
In machine learning the best performance on a certain task is achieved by fully supervised methods when perfect ground truth labels are available. However, labels are often noisy,…